विधियों की तुलना करें

	लॉन्गस्टाफ-श्वार्ट्ज़ विधि	SABR मॉडल
क्षेत्र	मात्रात्मक वित्त	मात्रात्मक वित्त
परिवार	Machine learning	Regression model
उद्भव वर्ष	2001	2002
प्रवर्तक	Francis A. Longstaff and Eduardo S. Schwartz	Patrick S. Hagan
प्रकार	Valuation Algorithm	Interest Rate Model
मौलिक स्रोत	Longstaff, F. A., & Schwartz, E. S. (2001). Valuing American options by simulation: A simple least-squares approach. Review of Financial Studies, 14(1), 113-147.	Hagan, P. S., Kumar, D., Lesniewski, A. S., & Woodward, D. E. (2002). Managing smile risk. Wilmott Magazine, 1, 84-108.
उपनाम	LSM, Least-Squares MC, Optimal Stopping	Stochastic Volatility Model
संबंधित	4	4
सारांश	The Longstaff-Schwartz method (2001) is a Monte Carlo algorithm for pricing American options and Bermudan swaptions by approximating the optimal exercise boundary via least-squares regression. It has become the industry standard for pricing path-dependent derivatives where analytical solutions do not exist.	The SABR (Stochastic Alpha-Beta-Rho) model is a stochastic volatility framework introduced by Hagan et al. in 2002 for valuing interest rate derivatives. It captures the smile effect in implied volatility through correlated Brownian motions and has become industry standard for swaption and caplet pricing.